How to get your The Trade Desk data ready for agentic AI

The Trade Desk holds some of your most valuable business data — programmatic campaign performance, spend and bidding activity, flight-level pacing, and the conversion reporting behind every advertising dollar spent. Getting it ready for agentic AI means giving AI agents access to a centralized, cleansed, and governed version of that data, so they can answer questions like "which campaigns are pacing over budget this week" in seconds rather than days. Fivetran + dbt Labs delivers the complete data foundation agents need — Fivetran moves The Trade Desk data reliably into your warehouse or data lake, and dbt transforms it into trusted, AI-ready tables.

Why The Trade Desk data is critical for agentic AI

Programmatic media buyers run dozens of campaigns at once, each with its own flights, bid lists, and conversion goals, and The Trade Desk generates performance reports on all of it continuously. But that reporting data typically stays inside The Trade Desk's own reporting tools, disconnected from the rest of a business's revenue and customer data. A media buyer who wants to know whether spend is actually converting, not just delivering impressions, has to export reports manually and stitch them together with data from elsewhere.

That manual process can't keep pace with how programmatic budgets move. Campaigns pace against budget in real time, and a report that's a day old can already be describing a flight that's overspent or underdelivering. This is exactly the gap that infrastructure built for agents, not just analytics, closes — pacing and conversion decisions shouldn't wait on someone building a spreadsheet.

What agentic AI can do with The Trade Desk data

Once Fivetran centralizes and models The Trade Desk data, an AI agent gives a programmatic media buyer or trading desk manager direct answers instead of manual report pulls.

A media buyer can ask which campaigns are pacing ahead of or behind budget right now, and get a direct answer instead of building a pacing spreadsheet from scratch. A trading desk manager can ask which bid lists are producing the most efficient conversions across active flights, and reallocate budget toward what's actually working, mid-flight rather than after it ends.

An agent can also flag campaigns where conversion reporting shows a drop-off partway through the funnel, giving the buyer a chance to investigate creative or targeting before the flight closes out. And because flight-level data syncs alongside campaign data, an account lead can ask how a specific flight within a larger campaign is performing relative to its peers, without pulling a separate report for each flight.

None of this requires someone to build a new report first — the agent draws directly from the same data a buyer would otherwise export by hand, just faster and without the manual reconciliation step.

How Fivetran gets your The Trade Desk data ready for agentic AI

The Trade Desk data in raw form is spread across campaigns, flights, bid lists, and conversion reporting columns, and it's generated through reports that have to be scheduled and executed before the data even becomes available. That structure makes it hard to use directly for agent workloads — an agent can't answer a pacing question if the report behind it hasn't run yet, or if it's sitting disconnected from the business's other data.

Fivetran solves this by moving The Trade Desk data reliably into a central warehouse or data lake, keeping it centralized, cleansed, and governed so it's fresh, complete, and ready for agents to query. Fivetran manages the report schedules and executions behind the scenes, syncing campaign, flight, and bid list data on an ongoing basis so new performance data shows up without anyone manually triggering an export. Fivetran also supports multiple advertiser accounts, so agencies and larger buying teams get a single, unified view of performance across every account they manage.

From there, dbt Labs — part of Fivetran — transforms that raw data into clean, trusted, AI-ready tables. dbt's modeling, testing, and documentation capabilities turn scattered campaign and conversion data into governed tables an agent can trust, without teams having to build transformations from scratch. For teams managing data across multiple ad platforms, the Fivetran Managed Data Lake Service keeps The Trade Desk data in an open format alongside other advertising sources.

What your The Trade Desk data unlocks for your team

With The Trade Desk data in a central warehouse, AI agents can unlock capabilities your team couldn't access before.

• Real-time pacing visibility — see which campaigns are over or under budget before the flight closes.
• Bid list performance analysis — identify which bid lists produce the most efficient conversions.
• Flight-level comparison — compare performance across flights within the same campaign without separate reports.
• Conversion funnel tracking — spot where performance drops off before a campaign ends, not after.
• Cross-account reporting — get a single view of performance across every advertiser account managed.

FAQ

What does it mean for The Trade Desk data to be AI agent-ready?

It means your campaign, flight, bid list, and conversion reporting data from The Trade Desk is centralized in a warehouse or data lake, modeled into clean tables, and governed so an AI agent can query it accurately. Without that step, the data stays locked in scheduled reports, disconnected from the rest of your business data.

What can my team actually do with AI agents and The Trade Desk data?

Media buyers and trading desk managers can ask about pacing, bid list efficiency, and conversion performance, and get direct answers instead of building pacing spreadsheets by hand. Teams can also catch underperforming flights early enough to adjust them.

Is The Trade Desk data ready for AI agents out of the box?

Not without preparation. Fivetran + dbt Labs must centralize, model, and govern The Trade Desk data before an agent can query it reliably.

Do we need a data engineering team to set this up?

No. Fivetran automates report scheduling and data movement, and dbt's modeling framework gives teams a fast path to AI-ready tables without a dedicated engineering build.

How does Fivetran get The Trade Desk data ready for AI agents?

Fivetran moves The Trade Desk data reliably into your warehouse or data lake, managing report schedules so campaign, flight, and conversion data stays fresh and complete across every advertiser account. dbt Labs then transforms and governs that raw data into clean, AI-ready tables using its full modeling and testing capabilities. One company delivers the entire stack, from movement to transformation.

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